Speed versus quality. Can you really have one while the other exists?
When Agile came on to the scene, it pushed to get development teams to create code as quickly as possible. Then DevOps came on as a practice that helped these Dev teams and the Ops side of the house to interact and collaborate more on best practices, tools to use and pinpointing issues in operations.
But the testing practices and QA teams have had challenges keeping up with all this code that is getting thrown their way at an avalanche pace. That is probably why nearly two-thirds of self-proclaimed DevOps practitioners report that their biggest bottleneck occurred in the QA/Test phase. In fact, this cited bottleneck was more than 2 times greater than the No. 2 proclaimed bottleneck, planning (29 percent).
It’s been said that “the consumer appetite to engage via digital channels is matched only by intolerance for any defects that might have an impact on their user experience and business outcomes.” If organizations are going to speed their delivery pipeline, they need to remember that the success of continuous delivery hinges on the effective employment of continuous testing.
Part of the problem remains with manual testing practices. You can’t manually test millions of lines of code, then try to figure out the customer experience during integration testing with other internal or third-party systems and API, with hundreds of microservices or varying mobile devices. The complexities of today’s composite apps make it impossible.
And traditional, legacy testing tools don’t help, either. Gone are the days of waiting for the UI to be complete before QA teams begin their testing. And gone are the days of developers throwing code over the wall to the testing team and washing their hands of it.
A few other facts:
- Ninety-one percent of QA professionals agree that the role of testing must change to meet the demands of today’s agile development needs.
- Only 1 in 3 organizations involve QA in planning requirements.
- Fewer than 1 in 5 organizations write new tests each time new code is checked in.
The idea of continuous testing helps to solve that. Continuous testing is the practice of testing across every activity in the software development life cycle (SDLC) to uncover and fix unexpected behaviors as soon as they are injected. That can’t happen in the above environments.
A new ebook from CA Technologies and staging-devopsy.kinsta.cloud notes that to continuously deliver software, organizations need to make sure tests, procedures and processes around quality are designed to fit in line with the flow of development, integration and deployment. While continuous testing is dependent upon strategic automation, it is not synonymous with automated testing—a continuous testing process encompasses other important QA activities that impact overall product quality.
As such, continuous testing depends on four major pillars:
- Code Quality – Did developers create the application code correctly?
- Pipeline Automation – Can the application code work across environments without manual intervention?
- Application Quality – Did developers create the correct features?
- Customer Experience – Are users perceiving value in the application delivered?
These four pillars are discussed in more detail in this continuous testing ebook. You’ll learn the evolutionary journey you can take to shift testing practices left, and really make testing and quality everyone’s responsibility. You’ll even read how GM Financial was able to transform its load practices by implementing some of these practices. See how you can start using these pillars in your QA efforts.
Now is the time to elevate QA’s new role from that of tester to quality enabler.
